com.hazelcast.jet.sql.impl.opt.logical.DeleteLogicalRel Maven / Gradle / Ivy
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* Copyright 2024 Hazelcast Inc.
*
* Licensed under the Hazelcast Community License (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://hazelcast.com/hazelcast-community-license
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
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package com.hazelcast.jet.sql.impl.opt.logical;
import com.hazelcast.shaded.org.apache.calcite.plan.RelOptCluster;
import com.hazelcast.shaded.org.apache.calcite.plan.RelOptCost;
import com.hazelcast.shaded.org.apache.calcite.plan.RelOptPlanner;
import com.hazelcast.shaded.org.apache.calcite.plan.RelOptTable;
import com.hazelcast.shaded.org.apache.calcite.plan.RelOptUtil;
import com.hazelcast.shaded.org.apache.calcite.plan.RelTraitSet;
import com.hazelcast.shaded.org.apache.calcite.prepare.Prepare;
import com.hazelcast.shaded.org.apache.calcite.prepare.Prepare.CatalogReader;
import com.hazelcast.shaded.org.apache.calcite.rel.AbstractRelNode;
import com.hazelcast.shaded.org.apache.calcite.rel.RelNode;
import com.hazelcast.shaded.org.apache.calcite.rel.RelWriter;
import com.hazelcast.shaded.org.apache.calcite.rel.metadata.RelMetadataQuery;
import com.hazelcast.shaded.org.apache.calcite.rel.type.RelDataType;
import com.hazelcast.shaded.org.apache.calcite.rex.RexNode;
import com.hazelcast.shaded.org.apache.calcite.sql.SqlKind;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.Collections;
import java.util.List;
public class DeleteLogicalRel extends AbstractRelNode implements LogicalRel {
private final RelOptTable table;
private final CatalogReader catalogReader;
private final RelNode input;
private final boolean flattened;
private final RexNode predicate;
protected DeleteLogicalRel(
@Nonnull RelOptCluster cluster,
@Nonnull RelTraitSet traitSet,
@Nonnull RelOptTable table,
@Nonnull Prepare.CatalogReader catalogReader,
@Nullable RelNode input,
boolean flattened,
@Nullable RexNode predicate
) {
super(cluster, traitSet);
this.table = table;
this.catalogReader = catalogReader;
this.input = input;
this.flattened = flattened;
this.predicate = predicate;
}
@Nonnull
@Override
public RelOptTable getTable() {
return table;
}
@Nonnull
public CatalogReader getCatalogReader() {
return catalogReader;
}
@Nullable
public RelNode getInput() {
return input;
}
@Override
public List getInputs() {
return input != null ? Collections.singletonList(input) : Collections.emptyList();
}
public boolean isFlattened() {
return flattened;
}
@Nullable
public RexNode getPredicate() {
return predicate;
}
@Override
public RelDataType deriveRowType() {
return RelOptUtil.createDmlRowType(SqlKind.DELETE, getCluster().getTypeFactory());
}
@Override
public RelOptCost computeSelfCost(RelOptPlanner planner, RelMetadataQuery mq) {
// If we have input, each row has to be deleted separately,
// so we get cost of scan + cost of delete.
// If there is no input, the delete still has to executed in the connected system
// which will also have cost proportional to number of rows.
// Version with no input will be preferred because of smaller total cost.
return super.computeSelfCost(planner, mq);
}
@Override
public RelNode copy(RelTraitSet traitSet, List inputs) {
return new DeleteLogicalRel(getCluster(), traitSet, getTable(), getCatalogReader(), sole(inputs), isFlattened(),
predicate);
}
@Override
public RelWriter explainTerms(RelWriter pw) {
RelWriter w = super.explainTerms(pw);
if (input != null) {
w.input("input", getInput());
}
return w
.item("table", table.getQualifiedName())
.item("flattened", flattened)
.itemIf("predicate", predicate, predicate != null);
}
}
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